Add to ORKGWe consider recent higher order likelihood asymptotics to construct confidence intervals for the skewness parameter which characterizes the shape of the distribution of the maximum of an exchangeable bivariate normal random variable. Our proposal is illustrated by means of both simulation and an application to mono-zygotic twin studies
The normal distribution is symmetric and enjoys many important properties. That is why it is widely ...
This paper presents discussion of properties of asymptotic confidence intervals based on a normalizi...
We consider likelihood based inference for the parameter of a skew normal distribution. One of the ...
We consider recent higher order likelihood asymptotics to construct confidence intervals for the ske...
We consider the use of modern likelihood asymptotics in the construction of confidence intervals for...
We consider the use of modern likelihood asymptotics in the construction of confidence intervals for...
We consider the use of modern likelihood asymptotics in the construction of confidence intervals for...
The skew-normal model is a class of distributions that extends the Gaussian family by including a sk...
The skew normal model is a class of distributions that extends the Gaussian family by including a s...
We discuss two likelihood-based small-sample confidence intervals for the skewness parameter of the ...
The skew-normal and the skew-t distributions are parametric families which are currently under inten...
In this master thesis we explore skewed distributions extended from the normal distribution. A trans...
We explore extremal properties of a family of skewed distributions extended from the multivariate no...
The skew normal model is a class of distributions that extends the Gaussian family by including a sh...
In this article, we give an asymptotic formula of order n(-1/2), where n is the sample size, for the...
The normal distribution is symmetric and enjoys many important properties. That is why it is widely ...
This paper presents discussion of properties of asymptotic confidence intervals based on a normalizi...
We consider likelihood based inference for the parameter of a skew normal distribution. One of the ...
We consider recent higher order likelihood asymptotics to construct confidence intervals for the ske...
We consider the use of modern likelihood asymptotics in the construction of confidence intervals for...
We consider the use of modern likelihood asymptotics in the construction of confidence intervals for...
We consider the use of modern likelihood asymptotics in the construction of confidence intervals for...
The skew-normal model is a class of distributions that extends the Gaussian family by including a sk...
The skew normal model is a class of distributions that extends the Gaussian family by including a s...
We discuss two likelihood-based small-sample confidence intervals for the skewness parameter of the ...
The skew-normal and the skew-t distributions are parametric families which are currently under inten...
In this master thesis we explore skewed distributions extended from the normal distribution. A trans...
We explore extremal properties of a family of skewed distributions extended from the multivariate no...
The skew normal model is a class of distributions that extends the Gaussian family by including a sh...
In this article, we give an asymptotic formula of order n(-1/2), where n is the sample size, for the...
The normal distribution is symmetric and enjoys many important properties. That is why it is widely ...
This paper presents discussion of properties of asymptotic confidence intervals based on a normalizi...
We consider likelihood based inference for the parameter of a skew normal distribution. One of the ...
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